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ORIENTED LOCAL HISTOGRAM EQUALISATION AND ITS APPL
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These techniques are used in masking of low intensity images with its main application in face recognition.Histogram equalization is the most popular algorithm for contrast enhancement due to its effectiveness and simplicity. It can be classified into two branches according to the transformation function used: global or local. Global histogram equalization is simple and fast, but its contrast enhancement power is relatively low. Local histogram equalization, on the other hand, can enhance overall contrast more effectively, but the complexity of computation required is very high due to its fully overlapped sub-blocks.Histogram equalization (HE) is sometimes useful for illumination compensation. However, it works well only when the image is intensified or darkened globally. Contrast-limited adaptive histogram equalization (CLAHE) and local histogram equalization (LHE) are more effective in compensating illumination variations locally, the former performs block based histogram equaliza
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speech recognition
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this program can test speech and then will recognise it open with gui_try.m this is basically a speech recognition program develop by me
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